Editorial summary

The company is seeking a Datadog Engineer to design, implement, and optimize end-to-end monitoring and observability across applications, infrastructure, cloud environments, and networks, leveraging Datadog APM, Logs, RUM, Metrics, and Synthetics to improve reliability and operational visibility. The role involves managing and optimizing the Datadog platform, and developing dashboards, alerts, service maps, and custom monitoring solutions, as well as implementing APM, distributed tracing, log analytics, and synthetic monitoring. Key requirements include strong experience with Datadog observability tools and cloud environments. Compensation is a salary of 10,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/datadog-engineer-41574 first appeared in Job-Q.com on 04 Nov 2026]

We are seeking a Datadog Engineer to design, implement, and optimize end-to-end monitoring and observability solutions across applications, infrastructure, cloud environments, and networks. The role focuses on leveraging Datadog APM, Logs, RUM, Metrics, and Synthetics to improve system reliability, performance, and operational visibility.

Responsibilities

• Manage and optimize Datadog observability platform and monitoring configurations.

• Develop dashboards, alerts, service maps, and custom monitoring solutions.

• Implement APM, distributed tracing, RUM, log analytics, and synthetic monitoring.

• Define and track KPIs, SLIs, and SLOs to support service reliability.

• Integrate Datadog with incident management tools such as ServiceNow, PagerDuty, and OpsGenie.

• Collaborate with development, infrastructure, and SRE teams to troubleshoot and resolve performance issues.

• Automate monitoring and reporting using Python, PowerShell, or Bash.

• Document best practices and provide technical guidance to team members.

Requirements

• Bachelor’s degree in computer science/ information technology or equivalent

• 5+years of experience in monitoring, infrastructure, or application support.

• 3+ years of hands-on Datadog experience across APM, Logs, Metrics, RUM, and Synthetics.

• Experience with AWS, Azure, or GCP environments.

• Knowledge of Kubernetes, Docker, CI/CD pipelines, and distributed systems.

• Strong understanding of observability principles including metrics, logs, and traces.

• Experience with Terraform and ITIL processes is an advantage.

If you believe you fit the requirements for the role, please submit your application below or drop us an email directly quoting the job title.

Due to an anticipated high volume of applicants, we regret that only shortlisted candidates will be notified. The information provided is for recruitment purposes only.

Cornerstone Global Partners (EA License Number: 19C9859) is an affirmative equal-opportunity employer and recruitment firm. We evaluate qualified applicants without regard to race, colour, religion, creed, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

(Scarlett) Zhang Jifan

EA Registration Number: R26159541.

Cornerstone Global Partners Pte Ltd (EA License: 19C9859)

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